Russell Tobin
Research Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Research Engineer – Fundamental AI Research
Location: London
Working Model: Hybrid – 3 days onsite
Contract: 12 months | 40 hours/week
About the Role
We are looking for a Senior Research Engineer to join a cutting-edge AI research team working on next-generation machine intelligence. This role sits at the intersection of AI research and software engineering, with opportunities to work on LLMs, reinforcement learning, AI agents, synthetic data, and large-scale AI systems. You’ll work closely with experienced researchers and engineers, contributing directly to active research projects while building production-quality tools and infrastructure.
Key Responsibilities
- Conduct hands-on AI/ML research and experimentation.
- Develop and evaluate LLMs and large-scale ML models.
- Build reinforcement learning environments, AI-agent systems, and experimentation frameworks.
- Work with synthetic data, large datasets, and complex AI systems.
- Build robust pipelines, sandboxes, and infrastructure for AI research.
- Analyse experiments, investigate why approaches succeed or fail, and translate findings into recommendations.
- Read and apply the latest AI/ML research papers.
- Write high-quality Python code and collaborate closely with research and engineering teams.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We're Looking For
- Strong Python and software engineering skills.
- Hands-on experience with machine learning models at scale.
- Experience with PyTorch and large datasets/models.
- Strong analytical and problem-solving abilities.
- Ability to understand and apply research findings beyond benchmark results.
- Bachelor’s degree in Computer Science, AI/ML, Computer Engineering, or a related field, or equivalent experience.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to Have
- Experience with Generative AI / LLMs and LLM evaluation or post-training.
- Reinforcement learning and AI-agent/multi-agent systems.
- Synthetic data generation.
- AI research infrastructure or experimentation frameworks.
- Research experience or a Master’s/PhD in AI/ML.
Why This Role?
- Work directly on frontier AI research problems.
- Combine research and hands-on engineering.
- Work alongside experienced AI researchers and engineers.
- Gain exposure to advanced LLMs, AI agents, and large-scale experimentation.
- Potential opportunities to contribute to research outputs and publications.
If you're passionate about AI research, machine learning, and building systems that push the boundaries of AI, this is an opportunity to work on genuinely challenging problems at the forefront of the field.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location